Bonferroni mean aggregation operators under q-rung linear diophantine fuzzy hypersoft set environment and its application in multi-attribute decision making

q-Rung linear diophantine fuzzy set is a significant extension of fuzzy set theory and soft set theory was widened into hypersoft set theory. In this manuscript, the conception of q-rung linear Diophantine fuzzy hypersoft set is described by merging both q-rung linear Diophantine fuzzy set and hypersoft set, along with some of its operations. Also, some new bonferroni mean and weighted bonferroni mean operators under q-rung linear diophantine fuzzy hypersoft set environment are described for aggregating the different information of decision makers. Further, a multi-attribute decision making approach based on proposed operators is described and a problem of choosing sustainable alternative marine fuel is discussed as an illustrative example for the proposed approach. A comparative analysis between the proposed and existing aggregation operators has been performed to describe the superiority of proposed works.